{"id":18523231,"url":"https://github.com/iglee/explainaboard-experiments","last_synced_at":"2025-06-20T23:32:16.568Z","repository":{"id":90698278,"uuid":"477940010","full_name":"iglee/ExplainaBoard-experiments","owner":"iglee","description":"for keeping track of experiments done with ExplainaBoard","archived":false,"fork":false,"pushed_at":"2022-06-03T13:06:18.000Z","size":4037,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-03T03:07:36.094Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/iglee.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-04-05T01:56:13.000Z","updated_at":"2022-05-05T20:02:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"ddc8826c-fa9f-4a25-a81f-511bd2620230","html_url":"https://github.com/iglee/ExplainaBoard-experiments","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/iglee/ExplainaBoard-experiments","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FExplainaBoard-experiments","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FExplainaBoard-experiments/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FExplainaBoard-experiments/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FExplainaBoard-experiments/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/iglee","download_url":"https://codeload.github.com/iglee/ExplainaBoard-experiments/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FExplainaBoard-experiments/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261035942,"owners_count":23100838,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-06T17:34:40.229Z","updated_at":"2025-06-20T23:32:11.553Z","avatar_url":"https://github.com/iglee.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ExplainaBoard-experiments\nfor keeping track of experiments done with ExplanaBoard\n\n## Summary of scripts\n- `src/process_wmt21reports.py`: organize the json reports from explainaboard into data points with metrics, also calculated URIEL distances\n- `src/process_wmt21train.py`: organize the training data from WMT21 into data points with data size, type token ratio, ttr distance, and subword tokenization (subword not implemented yet).\n- `src/linear_regression.py`: helper functions for linear regression. \n    - builds regression pipelines from polynomial or simple regression, (basis expansion can be added too, but not added yet.)\n    - trains pipelines using bootstrapping, \n    - get feature importances\n    - prints results (MSE and R2).\n- `src/generate_reports.sh` : generates reports from explainaboard from a given input directory\n- `sample_data`: for now, I have a `pkl` of a data frame to be used for regression related models.\n- `notebooks/linear-regression-analysis.ipynb`: notebook containing results/plots/analysis so far, related to regression models. mostly linear regression was explored, but I tried out SVM and GPR as non-linear examples.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figlee%2Fexplainaboard-experiments","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Figlee%2Fexplainaboard-experiments","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figlee%2Fexplainaboard-experiments/lists"}